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Find d.\overline { \mathrm { d } } . Assume the Samples Are Random and Dependent, and the Populations

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Find d.\overline { \mathrm { d } } . Assume the samples are random and dependent, and the populations are normally distributed. A1311302614B1178185\begin{array} { c | c c c c c } \mathrm { A } & 13 & 11 & 30 & 26 & 14 \\\hline \mathrm { B } & 11 & 7 & 8 & 18 & 5\end{array}


Definitions:

Estimator

A rule or formula that provides a means to calculate an estimate of a given parameter from sample data.

Parameter

A value that summarizes a characteristic of a population or a statistical model.

Confidence Interval

A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter, expressed with a certain level of confidence.

Confidence Level

A confidence level is a statistical parameter that expresses how certain one is in the results of a statistical experiment, often represented as a percentage that quantifies the probability that the true parameter lies within the confidence interval.

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